Triple
T34544081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheelmap.org |
E886874
|
entity |
| Predicate | hasAccessibilityScale |
P151769
|
FINISHED |
| Object | fully wheelchair accessible |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: fully wheelchair accessible | Statement: [Wheelmap.org, hasAccessibilityScale, fully wheelchair accessible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccessibilityScale Context triple: [Wheelmap.org, hasAccessibilityScale, fully wheelchair accessible]
-
A.
hasAccessibilityVariation
Indicates that one entity differs from another in terms of accessibility features, conditions, or support.
-
B.
usesScaleCharacteristics
chosen
Indicates that something is characterized, defined, or evaluated using properties or features of a particular scale or set of scales.
-
C.
hasAccessibleAccess
Indicates that an entity provides a form of access that is usable and reachable under defined accessibility conditions or standards.
-
D.
accessibilityFeatures
Indicates the specific tools, settings, or design elements provided to make something usable or understandable for people with disabilities or diverse access needs.
-
E.
supportsContentsScale
Indicates that an object can adjust its content rendering to match a specified display or screen scale factor.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f349ce5eb881909e431c670944aa68 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 1, 2026, 2:02 a.m.